Abstract: Provided is a method for analyzing a tissue specimen, including treating a tissue specimen with an aqueous clearing agent and with at least two fluorescent probes to obtain a cleared and labeled tissue specimen; imaging the cleared and labeled tissue specimen to generate a three-dimensional (3D) image of the tissue specimen; preparing a stained tissue section from the cleared and labeled tissue specimen; capturing a reference two-dimensional (2D) image of the stained tissue section; matching the reference 2D image with the 3D image to extract from the 3D image a series of 2D image slices including a corresponding 2D image slice that corresponds to the reference 2D image; and determining at least one pathological score for each of the series of 2D image slices and reporting the presence or absence and the extent of the disease based on the pathological scores. The method can improve the accuracy of histopathologic diagnosis.

Abstract: The present invention discloses a system for finding shortest pathways between neurons in a neuronal network, including a neuronal space generating device for establishing a three-dimensional or higher dimensional neuronal space database (which may be neuron image database), wherein the three dimensional or higher dimensional neuronal space database includes a plurality of neurons distributed therein. A neurons connection determining device is used for determined whether there is a connection between each of the plurality of neurons in the three-dimensional or higher dimensional neuronal space database and the others of the plurality of neurons in the three-dimensional or higher dimensional neuronal space database. A neuronal shortest pathway tables generating device is used for calculating a shortest pathway table of all of a plurality of connected neurons and then stored in a storage device.

Abstract: Provided is a method for preparing a tissue section, including treating a tissue specimen with a clearing agent and at least one labeling agent to obtain a cleared and labeled tissue specimen; generating a three-dimensional (3D) image of the cleared and labeled tissue specimen; performing an image slicing procedure on the 3D image to generate a plurality of two-dimensional (2D) images; identifying a target 2D image among the plurality of 2D images to obtain a distance value of D1, which indicates the distance between the target 2D image and a predetermined surface of the 3D image; preparing a hardened tissue specimen from the cleared and labeled tissue specimen; and cutting the hardened tissue specimen near a predetermined site to obtain a tissue section, wherein the distance between the predetermined site and a surface of the hardened tissue specimen corresponding to the predetermined surface of the 3D image is Dl.

Abstract: An epi-cone shell light-sheet super-resolution system and an epi-fluorescence microscope are provided. The epi-cone shell light-sheet super-resolution system includes a light-emitting element, a lens set, and an objective lens. After passing through the lens set, the excitation light emitted by the light-emitting element is refracted into ring-shaped light and focused on the objective-lens back-focal plane. The objective lens focuses the ring-shaped light to form a ring-shaped light cone which is then focused on the sample position. The ring-shaped light cone has a fixed thickness. In addition, the same objective lens is used for both excitation and imaging, thus achieving an epi-fluorescence microscope.

Abstract: The invention provides a 3D histopathology imaging method. The method includes collecting a tissue specimen from a subject, staining the tissue so as to obtain a stained tissue, obtaining, by a microscopy, a 3D image of the stained tissue, and performing an image slicing procedure on the 3D image to generate a plurality of 2D images.

Abstract: Provided is a method for analyzing a tissue specimen, including treating a tissue specimen with an aqueous clearing agent and with at least two fluorescent probes to obtain a cleared and labeled tissue specimen; imaging the cleared and labeled tissue specimen to generate a three-dimensional (3D) image of the tissue specimen; preparing a stained tissue section from the cleared and labeled tissue specimen; capturing a reference two-dimensional (2D) image of the stained tissue section; matching the reference 2D image with the 3D image to extract from the 3D image a series of 2D image slices including a corresponding 2D image slice that corresponds to the reference 2D image; and determining at least one pathological score for each of the series of 2D image slices and reporting the presence or absence and the extent of the disease based on the pathological scores. The method can improve the accuracy of histopathologic diagnosis.

Abstract: An epi-cone shell light-sheet super-resolution system and an epi-fluorescence microscope are provided. The epi-cone shell light-sheet super-resolution system includes a light-emitting element, a lens set, and an objective lens. After passing through the lens set, the excitation light emitted by the light-emitting element is refracted into ring-shaped light and focused on the objective-lens back-focal plane. The objective lens focuses the ring-shaped light to form a ring-shaped light cone which is then focused on the sample position. The ring-shaped light cone has a fixed thickness. In addition, the same objective lens is used for both excitation and imaging, thus achieving an epi-fluorescence microscope.

Abstract: The method of segmenting single neuron images with high-dynamic-range thresholds of the present invention includes (a) preparing a biological tissue sample containing neurons and performing imaging to this sample to obtain a three-dimensional raw neuroimage; (b) deleting voxels in the three-dimensional raw neuroimage with signal intensities below a first signal intensity threshold to obtain a first thresholded image; (c) tracing the first thresholded image to obtain a first traced image; (d) calculating a structural importance score of every voxel in the first traced image to obtain a first structural importance score of every voxel; (e) gradually increasing the signal intensity threshold and repeating (b), (c) and (d) n?1 times; (f) summing up all the n structural importance scores of every voxel; (g) deleting voxels with summed structural importance score smaller than a pre-determined value from the raw image to obtain the segmented single neuron.

Abstract: The present invention provides a high-dynamic-range sensing device and the sensing method thereof. The high-dynamic-range sensing device includes a control unit and sensing units with different sensing ranges. In the sensing method, the sensing units give sensing values, and then the control unit compares the sensing values and the upper sensing limit of the sensing units, respectively. When a sensing value is equal to the upper sensing limit, the control unit rejects the sensing value or interrupts the sensing of the sensing unit thereof. Thereby, the sensing device quickly excludes the sensing units which obtain saturated signals and their sensing values and thus switches between the alternative sensing units with different sensing ranges or picks up the optimum one of the sensing values.

Abstract: The method of segmenting single neuron images with high-dynamic-range thresholds of the present invention includes (a) preparing a biological tissue sample containing neurons and performing imaging to this sample to obtain a three-dimensional raw neuroimage; (b) deleting voxels in the three-dimensional raw neuroimage with signal intensities below a first signal intensity threshold to obtain a first thresholded image; (c) tracing the first thresholded image to obtain a first traced image; (d) calculating a structural importance score of every voxel in the first traced image to obtain a first structural importance score of every voxel; (e) gradually increasing the signal intensity threshold and repeating (b), (c) and (d) n?1 times; (f) summing up all the n structural importance scores of every voxel; (g) deleting voxels with summed structural importance score smaller than a pre-determined value from the raw image to obtain the segmented single neuron.

Abstract: The present invention discloses a system for finding shortest pathways between neurons in a neural network, including a neural space generating module for establishing a three dimensional or higher dimensional neural space database (which may be neuron image database), wherein the three dimensional or higher dimensional neural space database includes a plurality of neurons distributed therein. A neurons connection determining module is used for determined whether there is a connection between each of the plurality of neurons in the three dimensional or higher dimensional neural space database and the others of the plurality of neurons in the three dimensional or higher dimensional neural space database. A neural shortest pathway tables generating module is used for calculating a shortest pathway table of all of a plurality of connected neurons and then stored in a storage device.

Abstract: The present invention provides a method for providing 3D stereo image. The method comprises: accepting a request submitted from a client system by an intermediate server system; selecting an image server based on the request and responding to the client system from the image server through a processor in the intermediate server system; requesting at least one 3D stereo image by the client system from the image server according to the response; and providing the at least one 3D stereo image to the client system by the image server system. The present invention also provides a system for providing 3D stereo image.

Abstract: The present invention discloses an optical system for detecting a sample include a light source, one beam shaper, at least one lens, an image detecting module wherein the light source, one beam shaper, at least one lens are sequentially configured along a light path, wherein one beam shaper moves the focus along the light path back and forth so the light focused on the sample by the light source through one lens is focused onto different depths inside the sample, wherein the light source and the sample are placed at both sides of at least one lens. The image detection module is configured on a light path, and the sample is placed between at least one lens and the image detection module to capture images of different depths inside the sample.

Abstract: A system for classifying tiny insects includes a cultivation tank, a detecting container, a detector, a gathering device, and a control unit. The cultivation tank is connected to the detecting container, so that the hatched tiny insects can enter the detecting area of the detecting container from the cultivation tank. The detector is used for detecting the characteristics of the tiny insects in the detecting area, and then the control unit controls the switching unit of the gathering device to switch the gathering containers for gathering the tiny insects according to the detecting results. The system of the present invention is capable of automatically classifying the tiny insects and then gathering them to different gathering containers according to their characteristics, so as to decrease the man power and time necessary for factitious classification.

Abstract: The present invention provides a high-dynamic-range sensing device and the sensing method thereof. The high-dynamic-range sensing device includes a control unit and sensing units with different sensing ranges. In the sensing method, the sensing units give sensing values, and then the control unit compares the sensing values and the upper sensing limit of the sensing units, respectively. When a sensing value is equal to the upper sensing limit, the control unit rejects the sensing value or interrupts the sensing of the sensing unit thereof. Thereby, the sensing device quickly excludes the sensing units which obtain saturated signals and their sensing values and thus switches between the alternative sensing units with different sensing ranges or picks up the optimum one of the sensing values.

Abstract: A method of enhancing 3D image information density, comprising providing a confocal fluorescent microscope and a rotational stage. 3D image samples at different angles are collected. A deconvolution process of the 3D image samples by a processing unit is performed. A registration process of the deconvoluted 3D image samples by the processing unit is performed. An interpolation process of the registered 3D image samples by the processing unit is performed to output a 3D image in high resolution.

Abstract: The present invention relates to a method for inquiring neurotransmitter-related information in a neuronal image database, comprising the steps of: (a) selecting a neurotransmitter, secreted by neurons within a brain, to inquire the neurotransmitter-related information in the neuronal image database system; and (b) displaying spatial distribution of neurons associated with the neurotransmitter within the brain on a display screen.

Abstract: The present invention discloses a method for finding shortest pathways between neurons in a neural network, including: establishing a three dimensional or higher dimensional neural space database (which may be neuron image database) by a processing device in a storage space, wherein the three dimensional or higher dimensional neural space database includes a plurality of neurons distributed therein. Then, it is determined whether there is a connection between each of the plurality of neurons in the three dimensional or higher dimensional neural space database and the others of the plurality of neurons in the three dimensional or higher dimensional neural space database by the processing device, and subsequently a shortest pathway table of all of a plurality of connected neurons is calculated via an All-pairs Shortest Paths algorithm and is stored in the storage space.

Abstract: The present invention discloses an image processing method for feature retention associated with averaging processes. The image processing method comprises: scaling and aligning a plurality of image data for acquiring feature information; determining a plurality of two-dimensional feature label points according to the feature information for generating at least one Bezier curve; utilizing the at least one Bezier curve to generate at least one Bezier tube and performing Bezier tube fitting for generating result of Bezier tube fitting; deforming the plurality of image data according to the Bezier tube or the result of Bezier tube fitting for generating a plurality of deformed image data; and averaging the plurality of deformed image data for generating feature-preserved average image data. The present invention also provides an image processing system, a computer readable storage medium, and a computer program product, for implementing the image processing method.

Abstract: An apparatus adapted to a microscope includes a body, a revolvable structure, a stage and a driving device. The body has a slot for holding a liquid to form a horizontally level surface of the liquid. The revolvable structure partially accommodated within the slot and pivotally connected to the body is revolvable relative to the body about a horizontal axis and is for supporting a sample, which is immersed in the liquid. The revolvable structure penetrates through the body in a horizontal direction substantially parallel to the horizontal axis and is pivotally engaged to the body through a sealing ring, which makes the liquid be held in the slot and stops the liquid from leaking in the horizontal direction. The stage supports the body. The driving device is disposed on the stage and connected to the revolvable structure to revolve the revolvable structure.